Using previous work on the Behrens-Fisher problem, two approximate degrees of freedom tests, that can be used when one treatment is individually administered and one is administered to groups, were developed. Type I error rates are presented for these tests, an additional approximate degrees of freedom test developed by Myers, Dicecco, and Lorch (1981), and a mixed model test. The results indicate that the test that best controls the Type I error rate depends on the number of groups in the group-administered treatment. The mixed model test should be avoided
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
BackgroundLinear mixed models (LMM) are a common approach to analyzing data from cluster randomized ...
The familywise Type I error rate is a familiar concept in hypothesis testing, whereas the per‑family...
Using previous work on the Behrens-Fisher problem, two approximate degrees of freedom tests, that ca...
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use...
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use...
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use...
Type I error control accuracy of four commonly used pairwise mean comparison procedures, conducted a...
Type I error control accuracy of four commonly used pairwise mean comparison procedures, conducted a...
Type I error control accuracy of four commonly used pairwise mean comparison procedures, conducted a...
We used theoretical and simulation-based approaches to study Type I error rates for one-stage and tw...
We used theoretical and simulation-based approaches to study Type I error rates for one-stage and tw...
The Type I error rate of the Kenward-Roger (KR) test, implemented by PROC MIXED in SAS, was assessed...
Lecoutre (1991) has pointed out an error in the Huynh and Feldt (1976) formula for e used to adjust ...
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
BackgroundLinear mixed models (LMM) are a common approach to analyzing data from cluster randomized ...
The familywise Type I error rate is a familiar concept in hypothesis testing, whereas the per‑family...
Using previous work on the Behrens-Fisher problem, two approximate degrees of freedom tests, that ca...
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use...
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use...
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use...
Type I error control accuracy of four commonly used pairwise mean comparison procedures, conducted a...
Type I error control accuracy of four commonly used pairwise mean comparison procedures, conducted a...
Type I error control accuracy of four commonly used pairwise mean comparison procedures, conducted a...
We used theoretical and simulation-based approaches to study Type I error rates for one-stage and tw...
We used theoretical and simulation-based approaches to study Type I error rates for one-stage and tw...
The Type I error rate of the Kenward-Roger (KR) test, implemented by PROC MIXED in SAS, was assessed...
Lecoutre (1991) has pointed out an error in the Huynh and Feldt (1976) formula for e used to adjust ...
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
New analytic forms for distributions at the heart of internal pilot theory solve many problems inher...
BackgroundLinear mixed models (LMM) are a common approach to analyzing data from cluster randomized ...
The familywise Type I error rate is a familiar concept in hypothesis testing, whereas the per‑family...